公开(公告)号：US20200027015A1

公开(公告)日：2020-01-23

申请号：US16474515

申请日：2017-04-07

Applicant: INTEL CORPORATION

Inventor： Angang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wenhua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yurong CHEN ,  Yuqing HOU ,  Zhou SU

IPC: G06N7/00 ,  G06T1/20 ,  G06F9/48 ,  G06N20/00

Abstract: Described herein are systems and methods for providing deeply stacked automated program synthesis. In one embodiment, an apparatus to perform automated program synthesis includes a memory to store instructions for automated program synthesis and a compute cluster coupled to the memory. The compute cluster supports the instructions for performing the automated program synthesis including partitioning sketched data into partitions, training diverse sets of individual program synthesis units each having different capabilities with partitioned sketched data and for each partition applying respective transformations, and generating sketched baseline data for each individual program synthesis unit.

公开(公告)号：US20220230268A1

公开(公告)日：2022-07-21

申请号：US17517316

申请日：2021-11-02

Applicant: Intel Corporation

Inventor： Anbang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wenhua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yuqing HOU ,  Zhou SU

IPC: G06T1/20 ,  G06N20/00 ,  G06N3/00 ,  G06N3/04 ,  G06N3/08

Abstract: Described herein are advanced artificial intelligence agents for modeling physical interactions. In one embodiment, an apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.

公开(公告)号：US20220180127A1

公开(公告)日：2022-06-09

申请号：US17569725

申请日：2022-01-06

Applicant: INTEL CORPORATION

Inventor： Yurong CHEN ,  Jianguo LI ,  Zhou SU ,  Zhiqiang SHEN

IPC: G06K9/62 ,  G06F40/169 ,  G06N3/08 ,  G06V20/40

Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.

公开(公告)号：US20210142115A1

公开(公告)日：2021-05-13

申请号：US16616533

申请日：2017-06-29

Applicant: INTEL CORPORATION

Inventor： Yurong CHEN ,  Jianguo LI ,  Zhou SU ,  Zhiqiang SHEN

IPC: G06K9/62 ,  G06K9/00 ,  G06N3/08 ,  G06F40/169

Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.

公开(公告)号：US20210133911A1

公开(公告)日：2021-05-06

申请号：US16474540

申请日：2017-04-07

Applicant: INTEL CORPORATION

Inventor： Anbang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wehnua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yuqing HOU ,  Zhou SU

IPC: G06T1/20 ,  G06N3/00 ,  G06N3/04 ,  G06N3/08 ,  G06N20/00

Abstract: Described herein are advanced artificial intelligence agents for modeling physical interactions. An apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.